DocumentCode :
109744
Title :
Trajectory optimisation method by using independent component analysis for MIMO-OTHR target tracking
Author :
Yang Luo ; Zhiqin Zhao
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
51
Issue :
13
fYear :
2015
fDate :
6 25 2015
Firstpage :
1020
Lastpage :
1021
Abstract :
Traditional sky-wave over-the-horizon radar (OTHR) target tracking algorithms, such as multipath probabilistic data association, can achieve good performance if the multipath environment clutter is not strong enough. The computation complexity and tracking performance of these algorithms can be further improved by multiple-input multiple-output (MIMO) radar technology owing to its capability to utilise transmitting and receiving diversities. However, multipath propagation is still considered to degrade the performance because of the strong ionosphere and sea clutter. To deal with the interference of strong clutter in a multipath environment, a tracking trajectory optimisation method is proposed by applying the fast and robust fixed-point independent component analysis algorithm which uses the projection pursuit approach to separate clutter and a true target moving trajectory from the received signals. Numerical simulations demonstrate the feasibility of the method, and it also shows that the multipath measurements can be utilised for MIMO-OTHR target tracking.
Keywords :
MIMO radar; independent component analysis; optimisation; probability; target tracking; FastICA algorithm; MIMO-OTHR target tracking algorithm; MPDA; fixed-point independent component analysis algorithm; multipath probabilistic data association; multipath propagation; multiple-input multiple-output radar technology; projection pursuit approach; traditional sky-wave over-the-horizon radar target tracking algorithms; trajectory optimisation method;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2015.0225
Filename :
7130841
Link To Document :
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